Overview
Computer Science Introduction serves as the software engineering and algorithmic foundation of computer science. This module explores fundamental data structures, classical algorithmic paradigms (Divide & Conquer, Dynamic Programming, Greedy, Graph Algorithms), programming language semantics across C and C++ (templates, STL, memory semantics), and general software design principles.
Core Book Modules
1. Algorithms
Fundamental algorithmic design paradigms, asymptotic analysis, recursive problem-solving, graph traversal, shortest path algorithms, network flows, and linear programming optimization.
- Algorithms Main Directory
- Divide and Conquer
- Greedy Algorithms
- Dynamic Programming
- Backtracking
- Graph Algorithms
- Linear Programming
2. Data Structures
Abstract Data Types (ADTs), sequential structures, self-balancing search trees (AVL, Red-Black), heap priority queues, hashing architectures, string search automata, and information compression algorithms.
- Data Structures Main Directory
- Introductory Data Structures & ADTs
- Tree Structures & Heaps
- Hashing & Collision Resolution
- Graph Representations & Disjoint Sets
- Lexicons & Tries
- String Searching & Automata
- Coding & Compression
3. Programming Concepts & Languages
Core language mechanisms, scalar primitive types, number theory systems, C language syntax, and modern C++ metaprogramming (templates, lambdas, and the Standard Template Library).
- Programming Concepts & Number Theory Hub
- Programming Languages Directory
- C Language
- C++ Language & STL
4. Software Engineering
Software design patterns, architectural paradigms, code maintainability, testing strategies, and practical software lifecycle practices.